Development and Implementation of a Clinical Decision Support System to Enhance Efficiency and Accuracy in Medication Prescription Review in a Tertiary Care Hospital: A Retrospecti... by Lin M, He Y, He P, Jiang H, Luo H, Dai H, Yu L

“…Meili Lin,1 Yi He,1 Ping He,1 Hongyan Jiang,1 Huan Luo,1 Haibin Dai,1,2 Lingyan Yu1,2 1Department of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 2Research Center for Clinical Pharmacy, Zhejiang University, Hangzhou, Zhejiang Province, People’s Republic of ChinaCorrespondence: Haibin Dai; Lingyan Yu, Department of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, 88th Jiefang Road, Hangzhou, Zhejiang, People’s Republic of China, Email haibindai@zju.edu.cn; lingyanyu@zju.edu.cnBackground: The integration of Clinical Decision Support Systems (CDSSs) into the prescription review process is expected to mitigate medication errors and increase patient safety. This study aimed to quantify the impact of integrating the CDSS into the prescription review process.Methods: This retrospective study was conducted by pharmacists at a 3200-bed tertiary hospital in China, leveraging data from the Hospital Information System and CDSS software across two distinct periods: August 2021 to July 2022 (preimplementation) and August 2022 to July 2023 (postimplementation). …”
Get full text

Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…PG-SIM provides uncertainty and confidence maps corresponding to the imaging results, allowing biologists to simultaneously and quantitatively identify potential imaging errors without any reference. Furthermore, by leveraging the strong cognition ability of GRL to precisely learn the hierarchical representations of the SIM imaging process, PG-SIM itself also achieves a significant uncertainty reduction compared to current methods, overcoming the constraints of unreliability on the practical application of SIM. …”
Get full text

Reducing inappropriately suspended VTE prophylaxis through a multidisciplinary shared learning programme and electronic prompting by Christopher Felix Brewer, Dorothy Ip, Emma Drasar, Poureya Aghakhani

“…With ongoing teaching and integration of prescribing software alerts, this reduction in VTE prescribing errors could be sustained.…”
Get full text

Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance by Prince, Byungun Yoon

“…Ventilation systems are susceptible to errors, external disruptions, and nonlinear dynamics. …”
Get full text

The role of precision tool positioning in enhancing machining accuracy by Tuyboyov Oybek, Baydullayev Azamat, Jeltuxin Andrey, Muxiddinov Zayniddin

“…Utilizing tools such as laser interferometers, autocollimators, and predictive thermal simulations, the research addresses critical challenges in tool positioning accuracy caused by thermal fluctuations and geometric errors. Compensation strategies reduced thermal errors by 15%, while kinematic calibration mitigated angular discrepancies by 10%. …”
Get full text

A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements by Masrur Ahmed, Jing Kong, Ningbo Jiang, Hiep Nguyen Duc, Praveen Puppala, Merched Azzi, Matthew Riley, Xavier Barthelemy

“…In a case study across multiple locations in New South Wales, Australia, BaySurcls demonstrated significant improvements over traditional correction methods, including the USEPA model. BaySurcls reduced root mean square error (RMSE) by an average of 20% in collocated scenarios, with reductions of up to 25% in highvariation sites. …”
Get full text

A Framework for Autonomous UAV Navigation Based on Monocular Depth Estimation by Jonas Gaigalas, Linas Perkauskas, Henrikas Gricius, Tomas Kanapickas, Andrius Kriščiūnas

“…With this work, we propose a framework and scenarios in three different open-source virtual environments, varying in complexity, to test and compare autonomous UAV navigation methods based on vision. In this study, fine-tuned models using synthetic RGB and depth image data were used for each environment, demonstrating a noticeable improvement in depth estimation accuracy, with reductions in Mean Absolute Percentage Error (MAPE) from 120.45% to 33.41% in AirSimNH, from 70.09% to 8.04% in Blocks, and from 121.94% to 32.86% in MSBuild2018. …”
Get full text

Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

“…The model trained exclusively on synthetic data (TSTR) outperformed the model trained on real data (TRTR), with error reductions (RMSE decreased by 56.3%, MAE by 58.2%, and MSE by 80.9%) and improved variance explanation (R2 increase of 31.2%). …”
Get full text

Evaluation of Decision-Making Processes and Impact Levels in Apparent Loss Management Using Analytic Hierarchy Process (AHP) and Fuzzy AHP by Furkan Acar, Cansu Bozkurt, Mahmut Fırat

“…The main heading of data measurement and management has the highest weight (0.5048 with the AHP method and 0.3489 with the BAHP method). When the sub-component weights are examined, 9 of the first 11 components in the ranking created according to the weight coefficients obtained with the AHP and FAHP methods are the same. …”
Get full text

Peran Guru dalam Pembelajaran Membaca dan Menulis Siswa SD Kelas Rendah by Ummul Khair, Kholik Kholik

“…Meanwhile, the forms of writing errors include errors in writing words or sentences and errors in writing numbers. …”
Get full text

Evaluating the accuracy of nine canopy resistance models in estimating winter wheat evapotranspiration using the Penman–Monteith equation by Yingnan Wu, Qiaozhen Li, Xiuli Zhong, Xiaoying Liu

“…The results showed that the FA, KP, and ST models performed better in estimating daily ET with original parameters, achieving a root mean square error (RMSE) of 1.07–1.16 mm d−1 and a mean bias error (MBE) of −0.59–0.02 mm d−1. …”
Get full text

Mapping near-real-time soil moisture dynamics over Tasmania with transfer learning by M. T. Widyastuti, J. Padarian, B. Minasny, M. Webb, M. Taufik, D. Kidd

“…Results showed that (1) models calibrated from the Australian dataset performed worse than Tasmanian models regardless of the type of DL approaches; (2) Tasmanian models, calibrated solely using local data, resulted in shortcomings in predicting soil moisture; and (3) transfer learning exhibited remarkable performance improvements (error reductions of up to 45 % and a 50 % increase in correlation) and resolved the drawbacks of the two previous models. …”
Get full text

Effect of cooling temperature on machinability and hole quality in cryogenic drilling of CFRP/Ti stacks by Shunuan Liu, Zhijian Meng, Shiming Liang, Tao Wang, Hao Niu, Bin Luo, Kaifu Zhang

“…Compared to drilling at room temperature, the most significant improvement in hole quality is achieved at a cooling temperature of −25 °C, with a maximum reduction of 8.24 % in entrance delamination factor and 46.15 % in cylindricity error. …”
Get full text

A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models by Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis

“…The aim of this study is to introduce and evaluate a dual filter that combines Radial Basis Function neural networks and Kalman filters to enhance the accuracy of numerical wave prediction models. Unlike the existing methods, which focus solely on systematic errors, the proposed framework concurrently targets both systematic and non-systematic parts of forecast errors, significantly reducing the bias and variability in significant wave height predictions. …”
Get full text

Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

“…The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. …”
Get full text

Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Unlike previous works that primarily focus on either dimensionality reduction or attribute sparsity independently, our method synergizes these aspects to enhance detection performance. …”
Get full text

Evaluation of the PP6D5 Polymer as a Novel Non-Viral Vector in the Development of a CRISPR/nCas9-Based Gene Therapy for Tay–Sachs Disease by Jacky M. Guerrero-Vargas, Diego A. Suarez-Garcia, Andrés F. Leal, Ivonne L. Diaz-Ariza, León D. Pérez-Pérez, Angela J. Espejo-Mojica, Carlos J. Alméciga-Díaz

Get full text

SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…Existing segmentation methods encounter challenges such as managing size variations, interpreting contextual relationships, and integrating multi-source data. …”
Get full text

Small Incision Lenticule Extraction for Postkeratoplasty Myopia and Astigmatism by Tamer H. Massoud, Osama Ibrahim, Kitty Shehata, Moones F. Abdalla

“…The mean correction ratio for spherical errors was 0.84±0.19 D and for the mean refractive spherical equivalent (MRSE) was 0.79±0.13 D. …”
Get full text

Does food inflation exacerbate poverty in the Arab world? Assessing the impact of rural development and institutional quality by Abdikafi Hassan Abdi, Abdullahi Mohamed Nor

“…Recognizing cross-sectional dependence and heterogeneity among the panels, the study employs advanced panel cointegration methods. The findings from panel-corrected standard errors (PCSE) and feasible generalized least squares (FGLS) analyses consistently indicate that food price inflation exacerbates poverty rates, particularly in low – and middle-income Arab countries, while its impact remains negligible in those with high-incomes. …”
Get full text